{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9846753","patent":{"patent_number":"US-9846753","title":"Monte Carlo simulation for analyzing yield of an electric circuit","assignee":null,"inventors":[],"filing_date":"2014-03-17T00:00:00.000Z","publication_date":"2017-12-19T00:00:00.000Z","cpc_codes":["G06F","G06F","G06F"],"num_claims":30,"abstract":"In a simulation system and method thereof, the simulation includes, when a function value for a nominal point (NP) of an input is a first value, running a first simulation on the input; and when the function value for the NP of the input is a second value different from the first value, running a second simulation on the input. Here, the running of the second simulation may include (a) setting a boundary of an input distribution for the second value as a first distribution value, (b) generating input samples within the set boundary of the input distribution, (c) obtaining a worst case point (WCP) for the input by performing machine learning on the generated input samples, and (d) repeatedly performing the steps (a) to (c) while shifting the boundary of the input distribution until the boundary of the input distribution reaches a minimum critical value."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Monte Carlo simulation for analyzing yield of an electric circuit","description":"In a simulation system and method thereof, the simulation includes, when a function value for a nominal point (NP) of an input is a first value, running a first simulation on the input; and when the f","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9846753","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-9846753","citation_suggestion":"Patentable. \"Monte Carlo simulation for analyzing yield of an electric circuit\" (US-9846753). https://patentable.app/patents/US-9846753","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9846753","json":"https://patentable.app/api/llm-context/US-9846753","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T09:00:48.043Z"}